Abstract
Simultaneous PET/MR/EEG (Positron Emission Tomography – Magnetic Resonance – Electroencephalography), a new tool for the investigation of neuronal networks in the human brain, is presented here within the framework of the European Union Project TRIMAGE. The trimodal, cost-effective PET/MR/EEG imaging tool makes use of cutting edge technology both in PET and in MR fields. A novel type of magnet (1.5T, non-cryogenic) has been built together with a PET scanner that makes use of the most advanced photodetectors (i.e., SiPM matrices), scintillators matrices (LYSO) and digital electronics. The combined PET/MR/EEG system is dedicated to brain imaging and has an inner diameter of 260 mm and an axial Field-of-View of 160 mm. It enables the acquisition and assessment of molecular metabolic information with high spatial and temporal resolution in a given brain simultaneously. The dopaminergic system and the glutamatergic system in schizophrenic patients are investigated via PET, the same physiological/pathophysiological conditions with regard to functional connectivity, via fMRI, and its electrophysiological signature via EEG. In addition to basic neuroscience questions addressing neurovascular-metabolic coupling, this new methodology lays the foundation for individual physiological and pathological fingerprints for a wide research field addressing healthy aging, gender effects, plasticity and different psychiatric and neurological diseases. The preliminary performances of two components of the imaging tool (PET and MR) are discussed. Initial results of the search of possible candidates for suitable schizophrenia biomarkers are also presented as obtained with PET/MR systems available to the collaboration.
| Original language | English |
|---|---|
| Journal | European Psychiatry |
| Volume | 50 |
| Pages (from-to) | 7-20 |
| Number of pages | 14 |
| ISSN | 0924-9338 |
| DOIs | |
| Publication status | Published - 04.2018 |
Funding
N. Jon Shah is funded in part by the Helmholtz Alliance ICEMED − Imaging and Curing Environmental Metabolic Diseases , through the Initiative and Network Fund of the Helmholtz Association. N. Jon Shah acknowledges funding from the BMBF and Siemens for the 9.4T MR-PET project (Grant number 13N9121 ). N. Jon Shah and Irene Neuner report partial funding from the DFG for the implementation of the trimodal approach (Shah DFG SH 79/2-2 ). Claudia Regio-Brambilla is financed by a DAAD PhD stipend under the joint supervision of Irene Neuner and Christoph Lerche with focus on the ABP688 approach. We thank Suzanne Schaden, Silke Frensch and Cornelia Frey for excellent technical assistance in data acquisition in Jülich. The PET/MR facility at the Technische Universit?t M?nchen was funded by the Deutsche Forschungsgemeinschaft, Gro?ger?teinitiative (DFG). The research leading to these results has received funding from the European Union Seventh Framework Program (FP7) under grant agreement no. 294582 ERC Grant MUMI. The excellent technical assistance of Sylvia Schachoff at TUM is greatly appreciated. The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement n° 602621- Trimage . The PET/MR facility at the Technische Universität München was funded by the Deutsche Forschungsgemeinschaft, Großgeräteinitiative (DFG) . The research leading to these results has received funding from the European Union Seventh Framework Program (FP7) under grant agreement no. 294582 ERC Grant MUMI. The excellent technical assistance of Sylvia Schachoff at TUM is greatly appreciated.
| Funders | Funder number |
|---|---|
| Helmholtz Association | |
| Helmholtz Alliance ICEMED | |
| Bundesministerium für Bildung und Forschung | |
| Deutsche Forschungsgemeinschaft | |
| Seventh Framework Programme | 602621 |
| European Union Seventh Framework Program | |
| European Research Council | |
| European Commission | 294582 |
| Siemens CT | DFG SH 79/2-2, 13N9121 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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